iPad Pro 13-inch (M4)
Geekbench AI Score
10049
Single Precision Score
11867
Half Precision Score
11067
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4541
844.5 IPS |
|
|
Image Classification (HP)
|
100% |
5091
946.7 IPS |
|
|
Image Classification (Q)
|
96% |
4456
832.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7108
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7977
129.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7682
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26963
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30995
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30189
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4573
362.7 IPS |
|
|
Object Detection (HP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (Q)
|
92% |
4794
382.7 IPS |
|
|
Face Detection (SP)
|
100% |
12704
151.0 IPS |
|
|
Face Detection (HP)
|
100% |
16820
199.9 IPS |
|
|
Face Detection (Q)
|
100% |
13494
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20052
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22254
171.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20335
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55806
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67100
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
64811
83.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11345
418.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11706
432.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10305
380.5 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5801
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5780
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4948
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5252
90.8 IPS |
